Articles producció científica> Ciències Mèdiques Bàsiques

Early identification of metabolic syndrome risk: A review of reviews and proposal for defining pre-metabolic syndrome status

  • Dades identificatives

    Identificador: imarina:9226399
    Autors:
    Gesteiro, EvaMegia, AnaGuadalupe-Grau, AmeliaFernandez-Veledo, SoniaVendrell, JoanGonzalez-Gross, Marcela
    Resum:
    Aims: a) To analyze the relationship of known and emerging biomarkers/indicators for early risk identification of cardiometabolic health risk; b) to identify early risk markers to be used in both clinical and nonclinical settings; and c) to propose a definition of early risk identification in terms of pre-metabolic syndrome (PreMetSyn). Data synthesis: Pubmed/Medline, Web of Science, Embase, and Cochrane were searched for Systematic Reviews and Meta-analysis. Selected studies were evaluated, and relevant data were extracted and synthesized. Conclusions: Serum uric acid is a good predictive biomarker of metabolic syndrome (MetSyn) and has been associated with non-alcoholic liver fat disease (NAFLD) and type 2 diabetes. NAFLD emerges as an early risk indicator of PreMetSyn by itself. Muscle strength should also be included as an early risk marker of cardiometabolic health. High serum triglycerides and waist circumference confirm their predictive value regarding MetSyn. Indicators related to an inflammatory/proinflammatory status usually linked to MetSyn showed limited evidence as robust biomarkers for PreMetSyn. Authors suggest defining PreMetSyn related to cardiometabolic risk. It is also necessary to determine how close people are to the cut-off point of MetSyn components, including emerging indicators proposed by our review. Some biomarkers could be used as indicators of PreMetSyn, before any of the MetSyn components appear, allowing early health interventions to prevent its development. Defining a PreMetSyn status might consider both emerging indicators and those variables already included in the definition of MetSyn. New indicators should be considered to create a new risk score specifically meant for PreMetSyn. (c) 2021 The Authors. Published by Elsevier B.V. on beh
  • Altres:

    Autor segons l'article: Gesteiro, Eva; Megia, Ana; Guadalupe-Grau, Amelia; Fernandez-Veledo, Sonia; Vendrell, Joan; Gonzalez-Gross, Marcela;
    Departament: Ciències Mèdiques Bàsiques
    Autor/s de la URV: Fernandez Veledo, Sonia / Megía Colet, Ana / Vendrell Ortega, Juan José
    Paraules clau: Xanthophyll Waist hip ratio Waist circumference Vitamin-d Vitamin d Uric acid blood level Uric acid Type-2 diabetes-mellitus Tumor necrosis factor Triacylglycerol blood level Triacylglycerol Testosterone Terminology as topic Systolic blood pressure Systematic review Sodium blood level Sodium Sleep quality Sleep Sarcopenia Rosacea Risk score Risk factor Risk assessment Review Resistin Prognosis Predictive value of tests Predictive value Polycystic-ovary-syndrome Periodontitis Pathogenesis Oxidized low density lipoprotein antibody Osteocalcin Omega 3 fatty acid Obesity Normal-weight Nonalcoholic fatty liver Non insulin dependent diabetes mellitus Nomenclature Muscular strength Morphogenesis Microflora Metabolic syndrome x Metabolic syndrome components Metabolic syndrome Meta analysis Magnesium Low density lipoprotein cholesterol Leptin Interleukin 6 Interleukin 10 Indicators Hydrocortisone Humans High density lipoprotein cholesterol Heart-rate Health status indicators Health status indicator Glutamic acid Glucose Gamma glutamyltransferase Follow up Fitness Fibroblast growth factor 21 Ferritin Fatty liver-disease Fasting Early diagnosis Dose-response metaanalysis Diastolic blood pressure Data extraction Classification Cardiorespiratory fitness Cardiometabolic risk factors Cardiometabolic risk Cardiometabolic health risk C-reactive protein C reactive protein Body mass Blood Biomarkers Biological marker Bilirubin blood level Bilirubin Article Adiponectin Abdominal obesity Abdominal fat
    Resum: Aims: a) To analyze the relationship of known and emerging biomarkers/indicators for early risk identification of cardiometabolic health risk; b) to identify early risk markers to be used in both clinical and nonclinical settings; and c) to propose a definition of early risk identification in terms of pre-metabolic syndrome (PreMetSyn). Data synthesis: Pubmed/Medline, Web of Science, Embase, and Cochrane were searched for Systematic Reviews and Meta-analysis. Selected studies were evaluated, and relevant data were extracted and synthesized. Conclusions: Serum uric acid is a good predictive biomarker of metabolic syndrome (MetSyn) and has been associated with non-alcoholic liver fat disease (NAFLD) and type 2 diabetes. NAFLD emerges as an early risk indicator of PreMetSyn by itself. Muscle strength should also be included as an early risk marker of cardiometabolic health. High serum triglycerides and waist circumference confirm their predictive value regarding MetSyn. Indicators related to an inflammatory/proinflammatory status usually linked to MetSyn showed limited evidence as robust biomarkers for PreMetSyn. Authors suggest defining PreMetSyn related to cardiometabolic risk. It is also necessary to determine how close people are to the cut-off point of MetSyn components, including emerging indicators proposed by our review. Some biomarkers could be used as indicators of PreMetSyn, before any of the MetSyn components appear, allowing early health interventions to prevent its development. Defining a PreMetSyn status might consider both emerging indicators and those variables already included in the definition of MetSyn. New indicators should be considered to create a new risk score specifically meant for PreMetSyn. (c) 2021 The Authors. Published by Elsevier B.V. on behalf of The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
    Àrees temàtiques: Serviço social Saúde coletiva Nutrition and dietetics Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar General medicine Farmacia Enfermagem Endocrinology, diabetes and metabolism Endocrinology & metabolism Educação física Ciências biológicas ii Ciências biológicas i Ciências ambientais Cardiology and cardiovascular medicine Cardiac & cardiovascular systems
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: sonia.fernandez@urv.cat ana.megia@urv.cat juanjose.vendrell@urv.cat
    Identificador de l'autor: 0000-0003-2906-3788 0000-0002-5101-9452 0000-0002-6994-6115
    Data d'alta del registre: 2024-07-27
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.nmcd-journal.com/article/S0939-4753(21)00245-3/fulltext
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Nutrition Metabolism And Cardiovascular Diseases. 31 (9): 2557-2574
    Referència de l'ítem segons les normes APA: Gesteiro, Eva; Megia, Ana; Guadalupe-Grau, Amelia; Fernandez-Veledo, Sonia; Vendrell, Joan; Gonzalez-Gross, Marcela; (2021). Early identification of metabolic syndrome risk: A review of reviews and proposal for defining pre-metabolic syndrome status. Nutrition Metabolism And Cardiovascular Diseases, 31(9), 2557-2574. DOI: 10.1016/j.numecd.2021.05.022
    DOI de l'article: 10.1016/j.numecd.2021.05.022
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Cardiac & Cardiovascular Systems,Cardiology and Cardiovascular Medicine,Endocrinology & Metabolism,Endocrinology, Diabetes and Metabolism,Medicine (Miscellaneous),Nutrition & Dietetics,Nutrition and Dietetics
    Xanthophyll
    Waist hip ratio
    Waist circumference
    Vitamin-d
    Vitamin d
    Uric acid blood level
    Uric acid
    Type-2 diabetes-mellitus
    Tumor necrosis factor
    Triacylglycerol blood level
    Triacylglycerol
    Testosterone
    Terminology as topic
    Systolic blood pressure
    Systematic review
    Sodium blood level
    Sodium
    Sleep quality
    Sleep
    Sarcopenia
    Rosacea
    Risk score
    Risk factor
    Risk assessment
    Review
    Resistin
    Prognosis
    Predictive value of tests
    Predictive value
    Polycystic-ovary-syndrome
    Periodontitis
    Pathogenesis
    Oxidized low density lipoprotein antibody
    Osteocalcin
    Omega 3 fatty acid
    Obesity
    Normal-weight
    Nonalcoholic fatty liver
    Non insulin dependent diabetes mellitus
    Nomenclature
    Muscular strength
    Morphogenesis
    Microflora
    Metabolic syndrome x
    Metabolic syndrome components
    Metabolic syndrome
    Meta analysis
    Magnesium
    Low density lipoprotein cholesterol
    Leptin
    Interleukin 6
    Interleukin 10
    Indicators
    Hydrocortisone
    Humans
    High density lipoprotein cholesterol
    Heart-rate
    Health status indicators
    Health status indicator
    Glutamic acid
    Glucose
    Gamma glutamyltransferase
    Follow up
    Fitness
    Fibroblast growth factor 21
    Ferritin
    Fatty liver-disease
    Fasting
    Early diagnosis
    Dose-response metaanalysis
    Diastolic blood pressure
    Data extraction
    Classification
    Cardiorespiratory fitness
    Cardiometabolic risk factors
    Cardiometabolic risk
    Cardiometabolic health risk
    C-reactive protein
    C reactive protein
    Body mass
    Blood
    Biomarkers
    Biological marker
    Bilirubin blood level
    Bilirubin
    Article
    Adiponectin
    Abdominal obesity
    Abdominal fat
    Serviço social
    Saúde coletiva
    Nutrition and dietetics
    Nutrition & dietetics
    Nutrição
    M
  • Documents:

  • Cerca a google

    Search to google scholar